is a Ph.D. candidate in Political Science and International Relations at the University of Southern California. Her research interests include peace and conflict studies and political methodology. Her dissertation focuses on the conceptualization and development of new estimates of territorial control and subnational conflict exposure in civil wars using machine learning and geo-coded event data. From 2016 to 2017, she served as SPEC's Director of Research and Training, developed the data science curriculum, and taught classes on data wrangling
. Therese will be working with RStudio
on a project prototyping tools for Calibrated Peer Review in data science classes in the summer 2019. Her work appears in Political Psychology and a chapter in a Cambridge University Press volume, with several papers on the structure of the international system and latent variable measurement currently under review.